Papers with Code · CC BY-SA 4.0

Kinetics-Skeleton dataset

아카이브 평가 42건 · 마지막 적재/변경 2026-10-30

평가 기록

과거 수집 기록이며 최신 순위가 아닙니다. 데이터셋 버전·split·실험 조건과 지표 방향이 검증되지 않은 결과는 직접 비교할 수 없습니다. 날짜는 논문 날짜이며 최신 평가일을 뜻하지 않습니다.

표가 화면보다 넓으면 좌우로 스크롤하여 논문과 구현 링크를 확인하세요.

원본 기록 순서 · 순위 미부여
모델	원본 지표·값	논문	구현
Structured Keypoint Pooling (PPNv2 skeletons+objects)	Accuracy 52.3	Unified Keypoint-based Action Recognition Framework via Structured Keypoint Pooling 2023-03-27	연결 없음
ProtoGCN	Accuracy 51.9	Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition 2024-11-28	코드 1
Structured Keypoint Pooling (HRNet skeletons)	Accuracy 50.3	Unified Keypoint-based Action Recognition Framework via Structured Keypoint Pooling 2023-03-27	연결 없음
PoseC3D (SlowOnly-346)	Accuracy 49.1	Revisiting Skeleton-based Action Recognition 2021-04-28	코드 1 · 코드 2 · 코드 3 · 코드 4
PoseC3D	Accuracy 47.7	Revisiting Skeleton-based Action Recognition 2021-04-28	코드 1 · 코드 2 · 코드 3 · 코드 4
Structured Keypoint Pooling (PPNv2 skeletons)	Accuracy 43.1	Unified Keypoint-based Action Recognition Framework via Structured Keypoint Pooling 2023-03-27	연결 없음
HD-GCN	Accuracy 40.9	Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action Recognition 2022-08-23	코드 1
2s-AGCN+TEM	Accuracy 38.6	Temporal Extension Module for Skeleton-Based Action Recognition 2020-03-19	연결 없음
DualHead-Net	Accuracy 38.4	Learning Multi-Granular Spatio-Temporal Graph Network for Skeleton-based Action Recognition 2021-08-10	코드 1
MS-G3D	Accuracy 38.0	Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition 2020-03-31	코드 1 · 코드 2 · 코드 3
Dynamic GCN	Accuracy 37.9	Dynamic GCN: Context-enriched Topology Learning for Skeleton-based Action Recognition 2020-07-29	코드 1
MS-AAGCN	Accuracy 37.8	Skeleton-Based Action Recognition with Multi-Stream Adaptive Graph Convolutional Networks 2019-12-15	코드 1 · 코드 2
CGCN	Accuracy 37.5	Unifying Graph Embedding Features with Graph Convolutional Networks for Skeleton-based Action Recognition 2020-03-06	연결 없음
JB-AAGCN	Accuracy 37.4	Skeleton-Based Action Recognition with Multi-Stream Adaptive Graph Convolutional Networks 2019-12-15	코드 1 · 코드 2
ST-TR-agcn	Accuracy 37.4	Skeleton-based Action Recognition via Spatial and Temporal Transformer Networks 2020-08-17	코드 1
GCN-NAS	Accuracy 37.1	Learning Graph Convolutional Network for Skeleton-based Human Action Recognition by Neural Searching 2019-11-11	코드 1
AGCN (2-stream)	Accuracy 36.9 GFLOPS per prediction 26.91	Continual Spatio-Temporal Graph Convolutional Networks 2022-03-21	코드 1
DGNN	Accuracy 36.9	Skeleton-Based Action Recognition With Directed Graph Neural Networks 2019-06-01	코드 1
SLnL-rFA	Accuracy 36.6	Skeleton-Based Action Recognition with Synchronous Local and Non-local Spatio-temporal Learning and Frequency Attention 2018-11-10	연결 없음
AGCN (1-stream)	Accuracy 35 GFLOPS per prediction 13.45	Continual Spatio-Temporal Graph Convolutional Networks 2022-03-21	코드 1
AS-GCN	Accuracy 34.8	Actional-Structural Graph Convolutional Networks for Skeleton-based Action Recognition 2019-04-26	코드 1
PeGCN	Accuracy 34.8	Predictively Encoded Graph Convolutional Network for Noise-Robust Skeleton-based Action Recognition 2020-03-17	코드 1
S-TR (2-stream)	Accuracy 34.7 GFLOPS per prediction 23.24	Continual Spatio-Temporal Graph Convolutional Networks 2022-03-21	코드 1
ST-GCN (2-stream)	Accuracy 34.4 GFLOPS per prediction 24.09	Continual Spatio-Temporal Graph Convolutional Networks 2022-03-21	코드 1
PR-GCN	Accuracy 33.7	Pose Refinement Graph Convolutional Network for Skeleton-based Action Recognition 2020-10-14	연결 없음
ST-GR	Accuracy 33.6	Spatiotemporal graph routing for skeleton-based action recognition 2019-07-17	연결 없음
AR-GCN	Accuracy 33.5	An Attention-Enhanced Recurrent Graph Convolutional Network for Skeleton-Based Action Recognition 2019-11-27	연결 없음
ST-GCN (1-stream)	Accuracy 33.4 GFLOPS per prediction 12.04	Continual Spatio-Temporal Graph Convolutional Networks 2022-03-21	코드 1
CoST-GCN (2-stream)	Accuracy 33.1 GFLOPS per prediction 0.32	Continual Spatio-Temporal Graph Convolutional Networks 2022-03-21	코드 1
CoAGCN (1-stream)	Accuracy 33 GFLOPS per prediction 0.18	Continual Spatio-Temporal Graph Convolutional Networks 2022-03-21	코드 1